Omni Search Engine V4 — Ultimate Upgrade

Omni Search is a production-grade, agentic intelligence search platform designed to compete with the likes of Perplexity, SearchGPT, and ChatGPT Atlas. It combines multi-step agentic research, real-time source transparency, and a premium localized UI to deliver deep insights in seconds.

🚀 Key Features

1. Agentic Intelligence Core

• Multi-Step Research: Uses an autonomous agent to decompose complex queries into sub-tasks and recursively verify information.
• Deep Extraction: Automatically extracts "Extracted Facts" (entities, dates, and hard data) from research streams.
• Sentinel Reasoning: Powered by advanced reasoning models for high-fidelity synthesis.

2. Global Multi-Language System

• 29+ Languages: Full support for European, Asian, Middle Eastern, and African languages.
• Native Localization: The entire research stream is translated in real-time, matching the user's preferred native language.
• Flag-Aware UI: Dynamic UI elements reflect the selected global context.

3. Verified Source Transparency

• SSE Source Streaming: Sources are streamed and categorized in real-time.
• Inline Citations: Academic-grade citations [1], [2] map directly to sources.
• RL Relevance Scoring: Sources are ranked based on a reinforcement learning feedback loop (Zap score).

4. Professional Export Engine

• Triple Format Support: Export your research sessions as PDF, Microsoft Word (DOCX), or Markdown.
• Formatted Reports: Exports include metadata, queries, and structured research summaries.

5. Premium Competitive Features

• Focus Modes: Switch between General, Academic (arXiv/Scholar focus), News, and Code modes.
• Related Questions: AI-generated follow-up questions to drive deeper discovery.
• Engagement Loop: Interactive feedback (Thumbs Up/Down) and one-click response copying.

🛠️ Technical Stack

• Backend: Python 3.12+, FastAPI, SQLAlchemy (Async), Uvicorn.
• Frontend: React 18, Vite, Lucide Icons, Vanilla CSS.
• Intelligence: Google Gemini (via sentinel-provider), Deep-Translator.
• Exporting: FPDF2, Python-Docx.

📦 Setup Instructions

Backend Setup

1. Navigate to the backend/ directory.
2. Create a virtual environment: python -m venv venv
3. Activate the environment: .\venv\Scripts\activate
4. Install dependencies: pip install fastapi uvicorn sqlalchemy httpx beautifulsoup4 deep-translator g4f google-generativeai tenacity python-docx fpdf2 aiosqlite
5. Set your API Key: GEMINI_API_KEY=your_key_here
6. Run the server: python main.py

Frontend Setup

1. Navigate to the frontend/ directory.
2. Install dependencies: npm install
3. Run the development server: npm run dev
4. Open http://localhost:5173 in your browser.

📄 License

Distributed under the MIT License. See LICENSE for more information.

Developed with ❤️ by Shivay